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AI Public Value Creation: Data Encoding, Aggregation, and Algorithmic Computation
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DOI：10.1111/padm.70071.png)
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Abstract
En 中文
AI systems in public administration challenge the premise that value creation arises from managers' strategic mediation among the vertices of Moore's strategic triangle: Public value, legitimacy, and operational capacity. AI imposes new logics that reshape vertices and their interaction dynamics. Critically, these transformations become entrenched through what we term algorithmic public value lock-in: the crystallization of contingent value definitions into durable technical infrastructures resistant to democratic revision. Examining Peru's SISFOH, an algorithmic welfare-targeting system, we reveal three interconnected shifts: data management recasts legitimacy as computational objectivity; standardized classifications redefine public value in narrow, quantifiable terms; and algorithmic processing transforms operational capacity from adaptive discretion to rigid execution. Together, these shifts produce lock-in effects that potentially insulate public value creation from political negotiation.
Keywords:
AI in public administration
algorithmic logic
artificial intelligence
data logic
public value
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